The Role of Food Web Models in the Environmental Management of Bioaccumulative Chemicals

T. Iannuzzi, D. Ludwig
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引用次数: 8

Abstract

When properly calibrated, food web models can be used to estimate the tissue concentrations of bioaccumulative chemicals in aquatic organisms at various trophic levels. In general, such models are dependent on the knowledge of the bioenergetics and feeding interactions within a food web and the sediment and water concentrations of chemicals. The results of a preliminary probabilistic model that was constructed for a food web of the tidal Passaic River in New Jersey are presented. The basis for constructing and calibrating the model was to supplement available tissue-residue data for risk assessment and to evaluate future trends of bioaccumulation and potential risk under hypothetical scenarios regarding future conditions in the Passaic River. Following the construction and preliminary runs of the model, tissue-residue data were collected to evaluate the performance of the model. The comparison of the estimated and measured concentrations of select coplanar polychlorinated biphenyls (PCBs) and polychlorinated dibenzo-p-di-oxins and dibenzofurans (PCDDs/Fs) suggested that the model performed well for the site. The mean estimated concentrations of these chemicals were generally within an order of magnitude or less of the mean measured concentrations in mummichog (Fundulus heteroclitis), blue crab (Callinectes sapidus), and the edible portions of striped bass (Morone saxatilis). The utility of models is their ability to help evaluate events beyond the bounds of the available tissue-residue data, including future bioaccumulation potential within the food web under new or altered conditions. Under regulatory programs such as Comprehensive Environmental Response, Compensation, and Liability Act (CERCLA) and the Resource Conservation and Recovery Act, once remedial objectives are established, a food web model can be used to help develop ranges of clean-up goals that may be necessary to achieve the regulatory objectives for bioaccumulative chemicals.
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食物网模型在生物蓄积性化学品环境管理中的作用
当适当校准时,食物网模型可用于估计不同营养水平的水生生物中生物蓄积性化学物质的组织浓度。一般来说,这种模型依赖于生物能量学和食物网内的摄食相互作用以及沉积物和水中化学物质浓度的知识。本文提出了一个初步的概率模型,建立了一个食物网的潮汐帕塞伊克河在新泽西州。构建和校准模型的基础是补充现有的组织残留物数据进行风险评估,并评估未来Passaic河中生物积累的趋势和潜在风险。在模型构建和初步运行后,收集组织残留物数据以评估模型的性能。选择共面多氯联苯(PCBs)和多氯二苯并对二恶英和二苯并呋喃(pcdd /Fs)的估计浓度与测量浓度的比较表明,该模型在现场表现良好。这些化学物质的平均估计浓度一般在一个数量级或更低的平均测量浓度在mummichog (Fundulus heteroclitis),蓝蟹(Callinectes sapidus)和条纹鲈鱼(Morone saxatilis)的可食用部分。模型的效用在于它们能够帮助评估超出现有组织残留数据范围的事件,包括在新的或改变的条件下食物网中未来的生物积累潜力。根据《综合环境反应、补偿和责任法》(CERCLA)和《资源保护和恢复法》等监管项目,一旦补救目标确立,食物网模型就可以用来帮助制定一系列清理目标,这些目标可能是实现生物蓄积性化学品监管目标所必需的。
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